Ngā tūemi rite

• Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization
  mā: Kim, Daesung, me ētahi atu.
  I whakaputaina: (2022)
• Scaled Gradient Descent for Ill-Conditioned Low-Rank Matrix Recovery with Optimal Sampling Complexity
  mā: Li, Zhenxuan, me ētahi atu.
  I whakaputaina: (2026)
• On the Theory of Continual Learning with Gradient Descent for Neural Networks
  mā: Taheri, Hossein, me ētahi atu.
  I whakaputaina: (2025)
• How Transformers Learn Causal Structure with Gradient Descent
  mā: Nichani, Eshaan, me ētahi atu.
  I whakaputaina: (2024)
• Gradient Descent Finds Over-Parameterized Neural Networks with Sharp Generalization for Nonparametric Regression
  mā: Yang, Yingzhen, me ētahi atu.
  I whakaputaina: (2024)